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SMART-KG: Hybrid Shipping for SPARQL Querying on the Web

Azzam, A.; Fernández, J. D.; Acosta, M.; Beno, M.; Polleres, A.

Abstract:
While Linked Data (LD) provides standards for publishing (RDF) and (SPARQL) querying Knowledge Graphs (KGs) on the Web, serving, accessing and processing such open, decentralized KGs is often practically impossible, as query timeouts on publicly available SPARQL endpoints show. Alternative solutions such as Triple Pattern Fragments (TPF) attempt to tackle the problem of availability by pushing query processing workload to the client side, but suffer from unnecessary transfer of irrelevant data on complex queries with large intermediate results. In this paper we present smart-KG, a novel approach to share the load between servers and clients, while significantly reducing data transfer volume, by combining TPF with shipping compressed KG partitions. Our evaluations show that smart-KG outperforms state-of-the-art client-side solutions and increases server-side availability towards more cost-effective and balanced hosting of open and decentralized KGs.

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Verlagsausgabe §
DOI: 10.5445/IR/1000122092
Veröffentlicht am 27.07.2020
Originalveröffentlichung
DOI: 10.1145/3366423.3380177
Scopus
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2020
Sprache Englisch
Identifikator ISBN: 978-1-4503-7023-3
KITopen-ID: 1000122092
Erschienen in The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020, Taipei, Taiwan, 20 - 24 April 2020
Veranstaltung International World Wide Web Conference (WWW 2020), Taipeh, Taiwan, 20.04.2020 – 24.04.2020
Verlag ACM Digital Library
Seiten 984-994
Nachgewiesen in Scopus
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